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Low-Level Zoonotic Transmission of Clade C MERS-CoV in Africa: Insights from a Scoping Review and Cohort Studies in Hospital and Community Settings

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18 November 2024

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20 November 2024

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Abstract
Human outbreaks of Middle east respiratory syndrome coronavirus (MERS-CoV) are more common in middle Eastern and Asian human populations, associated with clades A and B. In Africa, where clade C is dominant in camels, human cases are minimal. We reviewed 16 studies (n= 6198) published across seven African countries between 2012-2024 to assess human MERS-CoV cases. We also analyzed data from four cohort studies conducted in camel-keeping communities between 2018- 2024 involving camel keepers, camel slaughterhouse workers, and hospital patients with acute respiratory illness (ARI). The analysis showed a pooled MERS-CoV prevalence of 2.4% (IQR: 0.6,11.4) from 16 publications, and 1.14% from four cohort studies (n=2353). Symptomatic cases were rarely reported, with most individuals reporting camel contact, and only 12% had travel history to the middle East. There was one travel associated reported death, resulting in a mortality rate of 0.013%. The findings suggest low camel – to – human transmission of clade C MERS-CoV in Africa. Ongoing research focuses on genomic comparisons between clade C and the more virulent clades A and B, alongside surveillance of viral evolution. This study highlights the need for continuous monitoring but indicates that MERS-CoV clade C currently poses a minimum public health threat in Africa.
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1. Introduction

Over the last 25 years, zoonotic transmission of newly emergent coronaviruses to humans has resulted in severe multi-continent epidemics of respiratory diseases, including the severe acute respiratory syndrome (SARS) first detected in 2002 in China caused by SARS coronavirus (SARS-CoV), Middle East respiratory syndrome (MERS) detected in 2012 in Saudi Arabia caused by MERS coronavirus (MERS-CoV), and COVID-19 pandemic detected in 2019 in China caused by SARS-CoV-2 [1,2,3] . Of these viruses, only MERS-CoV has a domestic animal reservoir; dromedary camels, which transmit the virus to humans in close contact through aerosol droplets [4,5].
There are three genetically distinct clades of MERS-CoV; A, B and C, with clades A and B continuing to spread through the Middle East, Asia, and other countries through primary camel contact and secondary human-human transmission fueled by close contact in intensive care units and travel, and resulting in 2613 confirmed human cases and a case fatality rate of 36% as at the last cases reported case in April, 2024 [6,7]. Over 80% of these cases were reported from Saudi Arabia, 55% infected through primary camel contact and the rest through secondary human-to-human transmission[8]. Most (> 80%) clade A/B clinical cases occur in older persons (median age = 58 years), having at least one underlying medical condition such as chronic renal failure, heart failure, diabetes and or hypertension [9] Clade A MERS-CoV caused the initial wave of cases but was quickly replaced by clade B as the primary circulating clade in the Middle East beyond the initial outbreak [10,11,12].
Despite being home to >80% of the global dromedary camel population and being the source market for most camels sold in the Middle East, Africa has never reported human MERS-CoV outbreak associated with primary camel exposure[13]. Most studies indicate that only clade C virus circulates in the continent, associated with documented outbreaks in camels and >70% seroprevalence in most camel populations but limited serologic evidence of human exposure or symptomatic infection has been reported in humans [14,15,16] . The paucity of human cases in Africa may be explained by viral plasticity resulting in inefficient transmission and/or weakened virulence of clade C, as supported by in vitro and ex vivo studies[17] . Alternatively, it may be due to poor disease surveillance and reporting among the marginalized nomadic pastoralist populations that inhabit remote arid lands where camels are reared[18]. Here, we combined our intensive hospital- and community-based MERS-CoV studies in Northern Kenya with scoping review of studies across Africa to assess levels of camel-to-human virus transmission and morbidity in human.

2. Materials and Methods

2.1. Scoping review

We conducted a scoping review to identify and evaluate reported human MERS-CoV across Africa using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidance and register the protocol at Open science Framework. A comprehensive literature search at PubMed, Research4life, Elsevier, Google scholar, Cochrane, EMBASE, and HINARI databases used to identify peer-reviewed publications on human MERS-CoV infections in Africa between January 2012―September 2024. Search terms were informed by key words using the Population, Intervention, Control group, Outcome (PICOs) guidance to ensure the broadest results (Supplementary Table S1).

2.2. Selection of articles

Selected articles were independently screened by two researchers for inclusion and exclusion. Studies with human cases/human samples on MERS-CoV from African countries, epidemiological research, molecular epidemiology studies, cohort studies, case controls, cross sectional studies and mixed method studies, reviews (scoping, systematic), clinical research: clinical studies, diagnostic studies, prognostic studies, and case reports/series studies were all included in the scoping review. Basic MERS-CoV research studies, laboratory studies and cellular studies, biochemistry, genetics/genomics, commentaries, editorials, opinions pieces, perspectives, dissertation (unless published in a peer review), non-English translated studies and MERS-CoV studies conducted outside Africa within the same period were excluded. Data from selected articles were manually recorded in Microsoft excel using the following variables: Article identification: Source of article, Year of publication, Full title, Author, Reason for inclusion and Country of origin. Key outcomes of interest were prevalence, morbidity, and mortality. Other variables included type of sample, laboratory test used, occupation, median age, sex, study design, postulated origin/ source of infection, and viral mutation.
Figure 1. PRISMA Flow Diagram.
Figure 1. PRISMA Flow Diagram.
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2.3. Empirical studies in Northern Kenya, 2018-2024

We analyzed data from four ongoing studies on human MERS-CoV among camel pastoralist communities in Isiolo and Marsabit counties in northern Kenya between 2018 and 2024 (Figure 1). These included two community cohort studies enrolling 351 camel herders, a 2-year prospective slaughterhouse workers (n= 124) cohort, and two hospital cross-sectional surveillance studies enrolling patients presenting with flu-like symptoms at Marsabit County Referral Hospital (n=935) and Laisamis Catholic Mission Hospital (n=942). Structured questionnaires we used to collect data on risk factors, clinical symptoms, and comorbidities.
Figure 2. Map of Kenya showing human MERS-CoV study sites.
Figure 2. Map of Kenya showing human MERS-CoV study sites.
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2.4. Sample collection and laboratory testing.

Upon consenting, participants provided nasopharyngeal/oropharyngeal (NP/OP) swabs and serum samples. Serum was assessed for IgG antibodies against MERS-CoV using the Euroimmun anti-MERS-CoV enzyme linked immunosorbent assay test kit (EUROIMMUN Medizinische Labordiagnostika AG, Lubeck, Germany) according to manufacturer’s instructions. The kit semi quantitatively detected IgG antibodies against MERS-CoV in serum by binding antibodies to viral antigens in precoated wells, followed by a colorimetric reaction indicating antibody presence. Results were compared to controls, with a positive result suggesting prior exposure/infection. MERS-CoV ELISA positive samples underwent microneutralization assay [19], where positive sera were diluted and mixed with live MERS-CoV or pseudo virus, then incubated to allow virus specific antibodies in the serum to bind. The mixture was then added to a culture of susceptible cells; if neutralizing antibodies were present, they blocked viral infection, indicating prior exposure to MERS-CoV.
To detect MERS-CoV RNA, NP/OP swabs were tested using RT-PCR as previously described[14,15].( Briefly, total nucleic acids were extracted from 200 µL of the sample, followed by a standard RT-PCR test targeting two pre-determined targets. A sample was considered positive if all PCR targets were positive (defined by a Cycle Threshold/CT value < 40).

2.5. Statistical analysis

Data were analyzed using R (version 4.2.0) [20]. Scoping review findings were summarized using frequencies and proportions, with continuous variables shown as medians and interquartile ranges (IQR). Key data included study location, sex, age groups, occupation, travel history, and camel contact. Categorical variables were summarized with frequencies and percentages, while continuous variables (e.g., age) used medians and IQR. Clinical and lab data were combined with demographic information and presented in tables. Pooled prevalence was used to estimate overall prevalence, weighted by sample size in the scooping review.

3. Results

3.1. Findings from scoping review

Of 109 articles reviewed, 16 articles[13,14,15,21,22,23,24,25,26,27,28,29,30,31,32] covering 7 African countries in east (Kenya, Sudan), north (Egypt, Tunisia, Morocco), and west (Ghana and Nigeria) Africa were included in the analysis (Table 1). The studies covered the period between January 2012 to September 2024. A total of 87.5% (n=14) of the eligible studies enrolled both human and camel participants. Camel studies were only included in the review if the studies also reported on human testing. The 16 studies included 6,198 human participants (median = 262, IQR: 75, 554), most (62.5%) of whom were male with a median age of 42 (IQR:18, 65). Participant occupations included camel herding (38.0%), abattoir workers (31.0%), and camel farmers (19.0%). The eligible studies also reported the results of 7,194 camels, evaluated alongside the human participants. Study types included cross-section serosurveys (n=9), 5 longitudinal cohorts (n=5), case control (n=1), and case report (n=1). Most of the studies (62.4%) used a combination of ELISA and Microneutralization Assay (MNA) for serologic confirmation, while 24.0% attempted virus detection by using polymerase chain reaction (PCR).

3.2. Human prevalence, morbidity, and mortality

Of 6,198 participants, the median human MERS-CoV pooled prevalence was 2.4% (IQR:0.6, 11.4). Eighty one percent (81.0%) of the studies associated the source of human infections with dromedary camels, whereas 12.4% (n=3) attributed infections to travel from the middle east. A cohort study conducted in Kenya confirmed 3 acute but asymptomatic MERS-CoV cases by PCR cases [14]. While majority (n=13) of the studies did not document any clinical symptoms on participants, three studies reported clinical symptoms including cough (18.8%), fever (12.5%), sore throat (12.5%), difficulty in breathing (6.3%) and running nose (6.3%). One mortality was reported from a case study in Tunisia of a 66-year-old diabetic male, who had travel back from Qatar and Saudi Arabia prior to onset of symptoms [23].

3.3. Findings from empirical studies in Kenya, 2018-2024

Between 2018 and 2024, we conducted four different studies on MERS-CoV in the northern Kenya region: household-based camel-human cohort, longitudinal follow-up of camel slaughterhouse workers, and two hospital-based studies as shown in Table 2. Some findings from one study ([14,15]) are included in the scoping review. We enrolled a total of 2,352 human participants, all associated with pastoral livelihood of inhabitants of this arid region, 54.1% of them male, and 34.3% below the age of 10 years. Observed underlying conditions like respiratory illnesses were reported by 78.0% of the participants, and visceral leishmaniasis (Kalazar), which is endemic in the region was reported by 1.7% of the participants (Table 2).
Over half (50.4%) of the participants reported camel contact as per table 3. Below is a breakdown summary of some of the camel contacts recorded in our studies including consuming raw products, feeding/herding, milking, and cleaning of barns (Table 3).

3.4. MERS-CoV prevalence, morbidity, and mortality in human participants

Of the 2352 participants followed in the four studies, 27 (pooled prevalence =1.14%) were positive for MERS-CoV by either PCR or serology (ELISA + MNA). In the community cohort study, 351 participants were follow-up and tested bimonthly for 1 year, while in the slaughterhouse study, 124 participants were follow-up and tested bimonthly for 2 years. These test results summarized in Table 4, showing that of 4,222 samples tested by PCR, 3 (0.07%) were positive for viral RNA while 24 (0.6%) were positive for serology.
In the slaughterhouse study, 28.1 % of 124 participants developed clinical symptoms over the follow-up period, whereas in the community cohort study, 11.7% of 351 participants did. When we evaluated prevalence of respiratory symptoms across the four studies, cough (76.7%), running nose (45.6%) and chest pains (28.1%) were the most common (Table 5). Cough had the longer duration (median:4 days), while other symptoms like sneezing and nasal discharge had shorter (median:2 - 3 days) durations. No mortality was reported among participants over the duration of the studies.

4. Discussion

This dual methods approach evaluated 8,550 human participants at risk of MERS-CoV infection due to either regular contact with camels or travel to the Middle east, and confirmed low prevalence and morbidity, and so far, no mortality associated with autochthonous MERS-CoV clade C transmission in Africa. The overall disease prevalence in the participants, most of whom had camel contact (50-80%) was 2.1%, all of it serologic evidence except three PCR confirmed cases. Clinical respiratory disease was reported in 28% of our study participants and 18.8% of participants in published studies[22,23,33]. However, no clade C associated mortality was reported with the one fatal case reported in a 66-year-old diabetic male from Tunisia who had traveled to the Middle East, thus likely associated with clades A or B [23].
Our prospective hospital and community-based studies incorporating 2352 human participants with high-risk occupations ruled out the possibility of weak surveillance system as the reason for paucity of human cases associated with clade C virus. In addition, the arid/semi-arid ecosystem of northern Kenya where we conducted our studies mirror that of the Middle east where clade A and B have caused more severe morbidity and mortality [34]. Therefore, these findings point to a less transmissible and weakly virulent clade C virus as the likely reason for the low disease prevalence and morbidity. This possibility is supported by studies showing that clades A and B were associated with higher virus replication rate and more severe pathology in ex-vivo human lung and bronchus tissues, and high replication in vitro compared to clade C [10,35].
To continue interrogating these findings, our team is currently undertaking further functional genomic studies across the three MERS-CoV clades to elucidate possible mechanisms associated with differential virulence among them. In addition, being aware that severe disease associated with clades A and B in recent outbreaks in the Middle east was more frequent and severe among persons with underlying medical conditions [9,36], we will continue longitudinal community cohort studies with a broadened enrollment eligibility in Northern Kenya regions where we have identified transmission hotspots, to further investigate this.
There are several concerns arising from the finding that clade C is less transmissible and less virulent. First, it is evident that clade C virus will continue undergoing functional mutations that enhance its transmissibility and even virulence [37], emphasizing the need for continuous genomic surveillance of the virus in African camels. Second, clade A or B may be introduced into the continent through human travel or camel sporting activities, resulting in one of these highly virulent strains establishing itself to begin causing severe human outbreaks with high morbidity and mortality [38]. Lastly, the World Health Organization listing of MERS-CoV among viruses likely to cause pandemic and pushing the Coalition for Epidemic Preparedness Innovations (CEPI) to pursue its vaccine development is commendable [39,40], and emphasizes the need for ongoing MERS-CoV genomic surveillance in Africa.
Some of the limitations of this analysis include the possibility that some infections that occurred between follow-up visits in the cohort studies were missed due to the irregular swabbing. Furthermore, not all household members were enrolled in the community studies, underscoring the challenges with virus detection in the longitudinal studies. Also, the empirical studies included in this analysis are from one region, however, this region also represents a critical node in the camel export route with three quarters of the camels exported to the Middle East origination along this path. Lastly, serologic assessment of antibodies and MERS-CoV T-cell responses might have detected mild and asymptomatic MERS-CoV cases as has been shown in other studies that have shown a lower yield with MERS-CoV and SARS-CoV-2 serologic testing[41,42], probably because of stringent cut-offs established for infection despite evidence pointing out that clade C infections are mostly subclinical [43]. Despite this limitation, this analysis represents one of the large analyses that have been undertaken to interrogate clade C MERS-CoV infection in Africa and forms a basis for future considerations for MERS-CoV surveillance in Africa.

5. Conclusions

Our study confirms that currently circulating clade C MERS-CoV strains have limited public health threat, associated with low prevalence and morbidity, and so far, no mortality. However, given the high circulation in dromedary camels, there is need for continued surveillance including genomic surveillance in this region to understand the public health threat of clade C MERS-CoV.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org. Table S1: PICOS framework used to identify human MERS-CoV studies in Africa.

Author Contributions

A.K., C.O., I.N., M.K.N.; conceptualization, data curation, formal analysis, writing original draft and writing-review and editing; S.S., I.N., M.M., W.J., R.B., M.K.N.; supervision, writing-review, and editing. All authors reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

We acknowledge the collaborative support from the Ministries of Health and county governments of Isiolo and Marsabit. Funding for the project was provided by the US National Institute of Allergy and Infectious Disease/National Institutes of Health (NIAID/NIH), grants number U01AI151799 through the Centre for Research in Emerging Infectious Diseases-East and Central Africa (CREID-ECA). We acknowledge Andrew Karani’s training support from the NIH/Fogarty International Center’s D43 training grant # D43TW011519 to Washington State University and University of Nairobi (UON).

Institutional Review Board Statement

The 2018 – 2021 community and hospital studies received approvals from the WSU Institutional Review Board (WSU-IRB/16245-006), KEMRI Scientific and Ethics Review Unit (KEMRI/SERU/CGHR/3472), CDC (#7069), and WSU Institutional Biosafety Committee (#1286-001/002). The 2022 – 2024 slaughterhouse cohort and hospital surveillance studies were approved by Kenya’s NACOSTI[NACOSTI/P/23/27617]. and the Kenyatta National Hospital – University of Nairobi Ethics Committee (P157/02/2022). Local approvals were granted by Isiolo and Marsabit county health departments. All participants provided written consent before enrollment.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the studies.

Data Availability Statement

The raw data used to support the findings of this study can be provided by the authors on request.

Conflicts of Interest

The authors have no conflict of interest to declare.

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Table 1. Descriptive summary of publications included in the scoping review.
Table 1. Descriptive summary of publications included in the scoping review.
Country/Region of origin No. Articles East Africa (Kenya & Sudan) West Africa (Ghana & Nigeria) North Africa (Morocco, Tunisia & Egypt)
No. articles 16 7 4 5
Sample size N (Median, IQR) 262 (75, 554) 261 (178,623) 575 (254,932) 28 (24,179)
Pooled MERS-CoV Prevalence (Median, IQR) 2.4 (0.6, 11.4) 1.4 (1.1,2.25) 12 (6,21) 8.6 (0,20)
Postulated origin of human infection
Camel 13 (81.0%) 1 2 4
Environment 1 (6.2%) 0 1 0
Travel 2 (12.4%) 0 1 1
Human Morbidity
Yes 1 (6.2%) 0 0 0
No 13 (81.0%) 7 3 3
Human Mortality 1 (6.2%) 0 0 1
Laboratory tests
ELISA & Neutralization 10 (62.5%) 5 1 4
PCR 5 (31.3%) 2 2 1
T cells 1 (6.2%) 0 1 0
* IQR- interquartile range; ELISA- Enzyme linked immunosorbent assay; PCR- polymerase chain reaction.
Table 2. Comparison of demographic characteristics and past medical history of participants enrolled in the four studies in Northern Kenya, 2018-2024.
Table 2. Comparison of demographic characteristics and past medical history of participants enrolled in the four studies in Northern Kenya, 2018-2024.
Study Type community cohort study 2018 -2021 Hospital study 2019 - 2021 Slaughterhouse study 2022 -2024 Hospital study 2022 - 2024 All studies
(n = 351) (n=935) (n= 124) (n= 942) (n= 2352)
Variable n % n % n % n % n %
Sex
Female 139 39.6 382 40.9 26 21 532 56.5 1079 45.9
Male 212 60.4 553 59.1 98 79 410 43.5 1273 54.1
Age group (years)
<10 85 24.2 409 43.7 - - 312 33.1 806 34.3
11―24 125 35.6 213 22.8 34 27.4 225 23.9 597 25.4
24―49 106 30.2 190 20.3 74 59.7 270 28.7 640 27.2
>50 35 10 123 13.2 16 12.9 105 11.1 279 11.9
Occupation
Student/child 144 41 466 49.8 - - 4 0.4 614 26.1
Livestock related 148 42.2 469 50.2 124 100 1 0.1 742 31.5
Non-livestock related 59 16.8 3 0.3 - - 3 0.3 65 2.8
Underlying conditions
Respiratory illness 25 7.1 838 89.6 31 25 941 99.9 1835 78
Kalazar* - - 16 1.7 - - - - 16 0.7
Other comorbidities 10 0 33 3.5 0 0 63 6.7 106 4.5
Camel contact
Yes 249 70.9 297 31.8 121 97.6 509 54.0 1176 50.4
Other comorbidities: Hypertension, diabetes, Liver disease, kidney disease. *Kalazar is endemic
Table 3. Camel contact among enrolled participants in studies in Northern Kenya, 2020-2024.
Table 3. Camel contact among enrolled participants in studies in Northern Kenya, 2020-2024.
Characteristic Community cohort study Hospital study 2019-2021 Slaughterhouse study Hospital study 2022―2023 All Studies
(n=351) (n=935) (n=124) (n=942) (n=2,352)
n % n % n % n % n %
Type of camel contact
Consuming raw products - - 261 27.8 - - 480 51 741 31.5
Feeding/herding 245 69.8 102 10.9 2 1.6 128 13.6 477 20.3
Milking 203 57.8 94 10.1 - - 67 7.1 364 15.5
Cleaning barns 224 63.8 75 8 25 20.2 38 4 362 15.4
Handling meat/hides/skin/offal’s - - 130 13.9 97 78.2 85 9 312 13.3
Treatment/restraining 97 - 43 4.6 20 16.1 37 3.9 197 8.4
Sports/leisure/grooming 31 8.8 70 7.5 70 - - 4.2 141 6
Slaughter 32 9.1 14 1.5 14 11.3 18 1.9 78 3.3
Assisting mating /birthing - - 16 1.7 - - 25 2.7 41 1.7
Transport - - - - 8 6.5 - - 8 0.3
Table 4. ELISA and PCRresults of human MERS studies in kenya 2018 – 2024.
Table 4. ELISA and PCRresults of human MERS studies in kenya 2018 – 2024.
Nasal/oral pharyngeal results (RT-PCR) Serum results (ELISA+MNA)
Negative= 4,219 Positive= 3 N= 728 Negative= 704 Positive= 24
Study type n % n % N n % n %
Community cohort study 1,714 99.8 3 0.2 430 414 96.3 16 3.7
Hospital study 2019 -2021 320 100.0 0 0.0 0 0 0 0 0.0
Slaughterhouse cohort study 1,243 100.0 0 0.0 0 0 0 0 0.0
Hospital study 2022 - 2024 942 100.0 0 0.0 298 290 97.3 8 2.7
*ELISA- enzyme linked immunosorbent assay, PCR- Polymerase chain reaction, MNT- Microneutralization testing.
Table 5. Clinical presentation between the community cohort and Hospital surveillance studies.
Table 5. Clinical presentation between the community cohort and Hospital surveillance studies.
Community cohort study Hospital study 2019 -2022 Slaughterhouse study Hospital study 2022―2023 All Studies
Symptoms (n=351) (n=935) (n=124) (n=942) (n=2352) Duration of symptom in days
n % n % n % n % n % Median [Min, Max]
Cough 10 2.8 835 89.3 22 17.7 938 99.6 1805 76.7 4.00 [0.00, 20.0]
Fever - - 22 2.4 2 1.6 687 72.9 711 30.2 3.00 [1.00, 14.0]
Difficulty in breathing - - 204 21.8 - - 189 20.1 393 16.7 3.00 [1.00, 14.0]
Nasal congestion/stuffiness 8 2.3 12 1.3 - - 665 70.6 685 29.1 0.00 [0.00, 14.0]
Runny nose 20 5.7 299 32.0 4 3.2 749 79.5 1072 45.6 3.00 [1.00, 14.0]
Sore throat 2 0.6 20 2.1 4 3.2 331 35.1 357 15.2 3.00 [1.00, 14.0]
Chest pain 1 0.3 282 30.2 1 0.8 378 40.1 662 28.1 5.00 [1.00, 20.0]
Headache - - 272 29.1 2 1.6 556 59.0 830 35.3 3.00 [1.00, 14.0]
Fatigue - - - - - - 426 45.2 426 18.1 3.00 [1.00, 14.0]
Nausea - - 12 1.3 - - 202 21.4 214 9.1 2.00 [1.00, 14.0]
Sneezing - - 3 0.3 - - - - 3 0.1 4.00 [2.00, 4.00]
Nasal discharge - - - 106 11.3 - - - 106 11.3 4.5 [3.00, 4.00]
Shortness of breath - - 104 11.4 - - - - 104 4.4 3.00 [1.00, 14.0]
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